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Beici Liang
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2020 – today
- 2023
- [e1]Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, Johan Pauwels:
Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. 2023, ISBN 978-1-7327299-3-3 [contents] - 2021
- [c9]Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu:
Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation. ICASSP 2021: 3015-3019 - [c8]Shichao Hu, Beici Liang, Zhouxuan Chen, Xiao Lu, Ethan Zhao, Simon Lui:
Large-scale singer recognition using deep metric learning: an experimental study. IJCNN 2021: 1-6 - [i2]Beici Liang, György Fazekas, Mark B. Sandler:
Transfer Learning for Piano Sustain-Pedal Detection. CoRR abs/2103.13219 (2021) - 2020
- [c7]Shichao Hu, Bin Zhang, Beici Liang, Ethan Zhao, Simon Lui:
Phase-Aware Music Super-Resolution Using Generative Adversarial Networks. INTERSPEECH 2020: 4074-4078 - [c6]Beici Liang
, Minwei Gu:
Music Genre Classification Using Transfer Learning. MIPR 2020: 392-393 - [i1]Ke Chen
Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation. CoRR abs/2010.15389 (2020)
2010 – 2019
- 2019
- [c5]Beici Liang
Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP 2019: 241-245 - [c4]Beici Liang
Transfer Learning for Piano Sustain-Pedal Detection. IJCNN 2019: 1-6 - 2018
- [c3]Beici Liang
Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO 2018: 2484-2488 - 2017
- [c2]Beici Liang
Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference 2017: 9:1-9:5 - [c1]Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler:
Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME 2017: 325-329
Coauthor Index
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